SYSTEM AND METHOD FOR DETERMINING TARGETED PATHS BASED ON INFLUENCE ANALYTICS

摘要

A method for determining an optimum targeted path from a source user to a target user across social networks includes classifying users connected to the source user into source positive influencers, source zero influencers, and source negative influencers, classifying users connected to the target user into target positive influencers, target zero influencers, and target negative influencers, removing the source zero influencers, the source negative influencers, the target zero influencers, and the target negative influencers from pools of users, compiling a list of each combination of the source positive influencers and the target positive influencers, performing the influence analytics to determine an influence level for each the combination of the source positive influencers and the target positive influencers, assigning a weight to each the combination of the source positive influencers and the target positive influencers based on the influence level, and determining the optimum targeted path based on the weight.

主权项

1. A system for determining an optimum targeted path from a source segment to a target segment across at least one social network based on influence analytics, said system comprising:
a memory unit that stores a database and a set of modules; a processor that executes said set of modules, wherein said set of modules comprise: an influencer classifying module, executed by said processor, that is configured to:
classify a plurality of users connected to said source segment on said at least one social network into source positive influencers, source zero influencers, and source negative influencers based on a level of interaction with posts of said source segment, wherein said interaction is selected from a group comprising (i) likes (ii) shares (iii) positive comments. (iv) negative comments and (iv) favorites; andclassify a plurality of users connected to said target segment on said at least one social network into target positive influencers, target zero influencers, and target negative influencers based on a level of interaction with posts of said target segment, wherein said interaction is selected from a group comprising (i) likes (ii) shares (iii) positive comments, (iv) negative comments, and (v) favorites; an influencer listing module, executed by said processor, that lists each combination of said plurality of source positive influencers and said plurality of target positive influencers; an influence level analytics module, executed by said processor, that determines an influence level for each said combination of said plurality of source positive influencers and said plurality of target positive influencers based on said source positive interaction and said target positive interaction; a weightage module, executed by said processor, that calculates a weightage of each said combination of said plurality of source positive influencers and said plurality of target positive influencers based on said influence level; and an optimum targeted path determining module, executed by said processor that determines said optimum targeted path from said source segment to said target segment based on said weight of each said path that comprises said source segment, an optimum source positive influencer, an optimum target positive influencer, and said target segment.